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TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot
  Class-Incremental Learning

TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot Class-Incremental Learning

7 December 2023
Shuangmei Wang
Yang Cao
Tieru Wu
    CLL
ArXivPDFHTML

Papers citing "TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot Class-Incremental Learning"

4 / 4 papers shown
Title
Alleviating the Sample Selection Bias in Few-shot Learning by Removing
  Projection to the Centroid
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid
Jing Xu
Xu Luo
Xinglin Pan
Wenjie Pei
Yanan Li
Zenglin Xu
36
21
0
30 Oct 2022
Free Lunch for Few-shot Learning: Distribution Calibration
Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang
Lu Liu
Min Xu
OODD
208
322
0
16 Jan 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,659
0
09 Mar 2017
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
282
39,190
0
01 Sep 2014
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